How we get data

Explain where statistical data comes from, decide when a sample or a census is appropriate, and classify how a variable is collected -- by counting, by measuring, or by observing and placing it in a category.

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Te reo Māori terms

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Learning objective overview

Master Teaching Guide coverage for this objective.

Resources

  • Alpha textbook: “Where does data come from?”, “Sample or census”, and “The three types of data”, pg 515–516

Terminology

  • data collection
  • observation
  • questionnaire
  • survey
  • census
  • population
  • sample
  • counting
  • measuring
  • categorising

Task goals

  • Identify the different ways data can be gathered: observation, questionnaire, survey, or census.
  • Explain the difference between a sample and a census, and identify the population being studied in a given context.
  • Explain why a sample should be selected at random, and why increasing sample size generally improves reliability.
  • Classify how a piece of data was collected — by counting, by measuring, or by observing and placing it in a category — and justify the classification.
  • Choose and justify an appropriate data-collection method for a given real-world investigation scenario.

Key skills

  • Data collection
  • Sampling
  • Census
  • Counting
  • Measuring
  • Categorising

Quick stats

  • 81 total questions
  • 3 difficulty levels
  • Answers included